An experimental study on load-peak shaving in smart homes by means of online admission control

Giuseppe Tommaso Costanzo, Anna Magdalena Kosek, Guchuan Zhu, Luca Ferrarini, Miguel F. Anjos, Gilles Savard

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper presents the design, implementation, and experimental results of an architecture for autonomous demand-side load management (ADSM) system for Smart Buildings in view of influencing the energy demand in the Smart Grid. In such an architecture, the management system has a layered structure and appliances' operation is modeled as a finite state machine, which enables an efficient load control using scheduling techniques borrowed from real-time computing systems. In this study the Admission Control, which is the bottom layer of the presented architecture interacting in real-time with physical equipments, is addressed and the real-time power consumption management in a residential dwelling is implemented and tested in a real office building. The experimental results provide a proof of concept for the proposed architecture and demonstrate the applicability of the on-line scheduling approach for ADSM systems for smart buildings.
Original languageEnglish
Title of host publicationProceedings of 3rd IEEE PES Innovative Smart Grid Technologies Europe Conference
PublisherIEEE
Publication date2012
ISBN (Print)978-1-4673-2597-4
DOIs
Publication statusPublished - 2012
Event3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012) - Berlin, Germany
Duration: 14 Oct 201217 Oct 2012
Conference number: 3

Conference

Conference3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012)
Number3
CountryGermany
CityBerlin
Period14/10/201217/10/2012

Bibliographical note

This work was supported by DERri, Distributed Energy Resources research infrastructure (FP7 Contract: 228449, TA-ID: 20110131-04), and by Mprime, the Canadian Network of Centres of Excellence for the mathematical sciences.

Keywords

  • Smart Grid
  • Autonomous demand side management (ADSM)
  • Energy management
  • Real-time scheduling

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